Instructions to use Falconsai/question_answering_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/question_answering_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Falconsai/question_answering_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Falconsai/question_answering_v2") model = AutoModelForQuestionAnswering.from_pretrained("Falconsai/question_answering_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
f558776 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e8dd5fba4b0c8f192ad2f5be92e69c6c26e315df363baae504e67849c5fca30a
size 4155
|